Nothing Special   »   [go: up one dir, main page]

CN107064113A - One kind realizes burner coal dust firing quality detecting system and method using optical fiber - Google Patents

One kind realizes burner coal dust firing quality detecting system and method using optical fiber Download PDF

Info

Publication number
CN107064113A
CN107064113A CN201710442165.8A CN201710442165A CN107064113A CN 107064113 A CN107064113 A CN 107064113A CN 201710442165 A CN201710442165 A CN 201710442165A CN 107064113 A CN107064113 A CN 107064113A
Authority
CN
China
Prior art keywords
coal dust
optical
burner
radiation intensity
signal
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201710442165.8A
Other languages
Chinese (zh)
Other versions
CN107064113B (en
Inventor
石德胜
宋岩
宋海宾
李从国
王晓杰
臧伟斌
任鹏伟
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
HUADIAN QINGDAO POWER GENERATION Co Ltd
Original Assignee
HUADIAN QINGDAO POWER GENERATION Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by HUADIAN QINGDAO POWER GENERATION Co Ltd filed Critical HUADIAN QINGDAO POWER GENERATION Co Ltd
Priority to CN201710442165.8A priority Critical patent/CN107064113B/en
Publication of CN107064113A publication Critical patent/CN107064113A/en
Application granted granted Critical
Publication of CN107064113B publication Critical patent/CN107064113B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/62Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
    • G01N21/71Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light thermally excited
    • G01N21/716Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light thermally excited by measuring the radiation emitted by a test object treated by combustion gases for investigating the composition of gas mixtures

Landscapes

  • Health & Medical Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Control Of Combustion (AREA)
  • Photometry And Measurement Of Optical Pulse Characteristics (AREA)

Abstract

The invention discloses one kind burner coal dust firing quality detecting system and method are realized using optical fiber, wherein the system includes fibre optical sensor, it is arranged at burner mouthful, and the flame optical signal being configured as in collection burner is simultaneously sent in processor through optical-electrical converter;The processor, is configured as the signal after being changed to optical-electrical converter and is sampled and spectrum analysis, so as to isolate the scintillation intensity of radiation intensity and flame in signal in each Frequency point;Again revised background radiation intensity is calculated by correcting unburned particulate matter to the occlusion effect of background;The burning quality of burner coal dust is described using revised background radiation intensity.

Description

One kind realizes burner coal dust firing quality detecting system and method using optical fiber
Technical field
The invention belongs to field of thermal power, more particularly to one kind burner coal dust firing quality testing is realized using optical fiber System and method.
Background technology
In field of thermal power, it is principal mode that coal dust firing, which generates electricity,.Coal is worn into after powdery by hot blast by coal pulverizer Hearth combustion is sent into by pipeline (tube cell) together with coal dust.Boiler combustion stability, economy and environmental protection index etc. will Ask and each depend on ature of coal and coal-air ratio example regulation and control.On the evaluation of ature of coal, mainly by chemical analysis and sampling observation method.And coal-air ratio example Accurate control be always boiler combustion field hard nut to crack.The method of current coal-air ratio example control be exactly mainly regulation and control to Powder machine rotating speed, and machine supplying powder rotating speed is nonlinear with coal-supplying amount so that the wind and powder on-line system effect of input is not ideal. Cause this result main reason is that in wind powder mixture the measurement and control of coal powder density be problematic in that.Measurement of concetration Inaccurate, control is not just known where to begin yet, and measurement of concetration is to realize the premise accurately controlled.Current measurement of concetration is typically former using electric charge Logos, i.e. carry positive charge using coal dust, coal powder density is bigger, and the voltage on induction electrode is then higher.
Because current thermal power generation unit all realizes AGC controls substantially, so-called AGC is exactly Automatic Generation Control, hair Group of motors load instruction from power network dispatching system from motion tracking and response, whole generating set is followed automatically equivalent to one Actuator.Therefore, AGC control essence is exactly the balance control of energy, and the energy of generating set derives from hearth combustion The heat of generation.Therefore the monitoring to burner hearth caloric value is most direct and effective monitoring.But measured currently for coal powder density And wind and powder on-line system is all only one kind measurement and regulation and control indirectly to supply side energy, is lacked most directly to hearth combustion The monitoring means of monitoring and the regulation and control of situation.
The content of the invention
In order to solve the deficiencies in the prior art, burner coal dust firing quality is realized using optical fiber the invention provides one kind Detecting system, the system carries out direct opto-electronic conversion to the fiber-optic signal using burner as observation station, and by believing after conversion Number analysis, respectively be isolated by react observation station radiation intensity and unburned particulate matter flame scintillation intensity, then pass through amendment Unburned particulate matter calculates the occlusion effect of background revised background radiation intensity;Utilize revised background radiation intensity To describe the burning quality of burner coal dust.
The utilization optical fiber of the present invention realizes burner coal dust firing quality detecting system, including:
Fibre optical sensor, it is arranged at burner mouthful, the flame optical signal for being configured as gathering in burner and through photoelectricity Converter is sent in processor;
The processor, is configured as the signal after being changed to optical-electrical converter and is sampled and spectrum analysis, so that point Separate out the scintillation intensity of radiation intensity and flame in signal in each Frequency point;Again by correcting screening of the unburned particulate matter to background Effect is kept off to calculate revised background radiation intensity;The combustion of burner coal dust is described using revised background radiation intensity Burn quality;
Wherein, during revised background radiation intensity is calculated, first with flame each Frequency point flicker Intensity, calculating coal dust firing degree is used to describe coverage extent;Recycle coal dust firing degree to correct background radiation intensity, repair Background radiation intensity after just is the ratio of radiation intensity and coal dust firing degree.
Further, the optical-electrical converter includes the photo resistance of integrated operational amplifier and connection connected in parallel, institute State integrated operational amplifier end of oppisite phase input be superimposed with the negative feedback voltage of photo resistance after output.
Wherein, photo resistance is resistance type sensor, and optical-electrical converter takes photo resistance undistorted resistance --- Voltage transformation, input signal is defeated after the inverting input of integrated operational amplifier is superimposed with the negative feedback voltage of photo resistance Go out, be in inverse relation between output voltage and infrared intensity (photo resistance and infrared intensity are in inverse ratio).
Further, the processor is additionally configured to the signal after being changed using least-squares algorithm to optical-electrical converter Sampled and spectrum analysis.
The present invention is sampled and spectrum analysis using least-squares algorithm to signal, and this method has higher when frequency division Precision is analysed, the spectrum signature of signal can be accurately recognized, and can more accurately portray the position and border of reservoir, can Further improve the precision of reservoir prediction.
Further, the processor is also connected by bus with monitoring host computer.
Present invention also offers the detection method that burner coal dust firing quality detecting system is realized using optical fiber.
The utilization optical fiber of the present invention realizes the detection method of burner coal dust firing quality detecting system, including:
Fibre optical sensor gathers the flame optical signal in burner and is sent to through optical-electrical converter in processor;
Signal after processor is changed to optical-electrical converter is sampled and spectrum analysis, so as to isolate the spoke in signal Penetrate the scintillation intensity of intensity and flame in each Frequency point;The occlusion effect of background is repaiied to calculate by correcting unburned particulate matter again Background radiation intensity after just;The burning quality of burner coal dust is described using revised background radiation intensity;
Wherein, during revised background radiation intensity is calculated, first with flame each Frequency point flicker Intensity, calculating coal dust firing degree is used to describe coverage extent;Recycle coal dust firing degree to correct background radiation intensity, repair Background radiation intensity after just is the ratio of radiation intensity and coal dust firing degree.
Further, the signal after being changed using least-squares algorithm to optical-electrical converter is sampled and spectrum analysis.
Further, the signal after being changed using least-squares algorithm to optical-electrical converter is sampled and spectrum analysis Detailed process is:
According to Shen agriculture sampling theory, frequency and the sampling period of the signal after optical-electrical converter conversion are determined;
According to least-squares algorithm, a least square filter is constructed;
Signal after being changed according to least square filter to optical-electrical converter is filtered processing, obtains optical-electrical converter The DC component of signal after conversion and the harmonic amplitude of each Frequency point, are designated as radiation intensity and flame in each frequency respectively The scintillation intensity of point.
Further, coal dust firing degree is the maximum average flicker intensity of coal dust and the average flicker intensity of all coal dusts Difference ratio again with the maximum average flicker intensity of coal dust.
Further, when the scintillation intensity of each Frequency point of coal dust reaches maximum, coal dust firing degree is minimum, explanation Serious shielding.
Further, this method also includes:The burning quality of burner coal dust is also sent to prison by processor by bus Control main frame is monitored in real time.
Compared with prior art, the beneficial effects of the invention are as follows:
(1) in coal dust firing quality determining method proposed by the present invention, background is blocked by correcting unburned particulate matter Effect calculates revised background radiation intensity;The burning of burner coal dust is described using revised background radiation intensity Quality, is that flame status detection, burning quality detection etc. provide theoretical foundation;
(2) coal dust firing quality determining method proposed by the present invention realizes the quantitatively evaluating index of coal dust firing degree;
(3) burning quality detection method proposed by the present invention, become more meticulous burning to current field of thermal power raising boiler Adjustment level and Environmental Protection Level have direct help, have filled up the blank in the field, with huge economic benefit And social benefit.
Brief description of the drawings
The Figure of description for constituting the part of the application is used for providing further understanding of the present application, and the application's shows Meaning property embodiment and its illustrate be used for explain the application, do not constitute the improper restriction to the application.
The utilization optical fiber that Fig. 1 is the present invention realizes burner coal dust firing quality detecting system structural representation;
Fig. 2 is the optical-electrical converter structural representation of the present invention;
Fig. 3 is that the boiler combustion realized according to the present invention monitors picture.
Embodiment
It is noted that described further below is all exemplary, it is intended to provide further instruction to the application.Unless another Indicate, all technologies used herein and scientific terminology are with usual with the application person of an ordinary skill in the technical field The identical meanings of understanding.
It should be noted that term used herein above is merely to describe embodiment, and be not intended to restricted root According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singulative It is also intended to include plural form, additionally, it should be understood that, when in this manual using term "comprising" and/or " bag Include " when, it indicates existing characteristics, step, operation, device, component and/or combinations thereof.
The utilization optical fiber that Fig. 1 is the present invention realizes burner coal dust firing quality detecting system structural representation.
As shown in figure 1, the utilization optical fiber of the present invention realizes burner coal dust firing quality detecting system, including:
Fibre optical sensor, it is arranged at burner mouthful, the flame optical signal for being configured as gathering in burner and through photoelectricity Converter is sent in processor;
The processor, is configured as the signal after being changed to optical-electrical converter and is sampled and spectrum analysis, so that point Separate out the scintillation intensity of radiation intensity and flame in signal in each Frequency point;Again by correcting screening of the unburned particulate matter to background Effect is kept off to calculate revised background radiation intensity;The combustion of burner coal dust is described using revised background radiation intensity Burn quality;
Wherein, during revised background radiation intensity is calculated, first with flame each Frequency point flicker Intensity, calculating coal dust firing degree is used to describe coverage extent;Recycle coal dust firing degree to correct background radiation intensity, repair Background radiation intensity after just is the ratio of radiation intensity and coal dust firing degree.
Because of coal dust occlusion effect, the signal radiation intensity isolated, that is, the DC component of flame optical signal be in fact The radiation intensity of observation station, rather than background radiation intensity, background radiation intensity must be according to shielding rate of the coal dust to bias light It is modified.
Size and blinking characteristics of the flame on fundamental wave point and each harmonic Frequency point, have reacted particulate matter in burner hearth wind field In motion feature, feature is more obvious, illustrates that particle concentration is bigger, concentration is more big, blocks more serious to bias light, therefore, This feature is a kind of negative contribution to bias light.
Coverage extent is described with following coal dust firing degree E:
Wherein, Umax--- for maximum average flicker intensity.When each scintillation intensity reaches maximum, E minimum (tending to be 0), Illustrate serious shielding, when each scintillation intensity very little, E is very big (tending to be 1) on the contrary, illustrates that occlusion effect is smaller.
Therefore, real background intensity U should reversely be corrected according to E size.Revised background intensity U is:
The radiation intensity U that above formula comprehensive description observation station is directly observed0, coal dust firing degree E, coal dust fires to the greatest extent front end Relation between radiation intensity U, also describes and represents the burning quality of burner.
As shown in Fig. 2 optical-electrical converter includes the photo resistance of integrated operational amplifier and connection connected in parallel, the collection Into operational amplifier end of oppisite phase input be superimposed with the negative feedback voltage of photo resistance after output.
Wherein, photo resistance is resistance type sensor, and optical-electrical converter takes photo resistance undistorted resistance --- Voltage transformation, input signal is defeated after the inverting input of integrated operational amplifier is superimposed with the negative feedback voltage of photo resistance Go out, be in inverse relation between output voltage and infrared intensity (photo resistance and infrared intensity are in inverse ratio).
Wherein, the processor is additionally configured to the signal progress after being changed using least-squares algorithm to optical-electrical converter Sampling and spectrum analysis.
Specifically, using least-squares algorithm to optical-electrical converter change after signal sampled and spectrum analysis tool Body process is:
Step one:According to Shen agriculture sampling theory, frequency and the sampling period of the signal after optical-electrical converter conversion are determined;
According to Fourier function theory, any one function is represented by the Fourier letter for ω such as next fundamental frequency Number:
Wherein, U0- DC component;λ-DC component attenuation coefficient;UkThe amplitude of-kth subharmonic;ω --- fundamental wave electricity The angular frequency of stream or voltage;θk--- the initial phase angle of kth subharmonic.K=1,2 ..., M.
According to Shen agriculture sampling theory, as long as sample frequency f is more than twice of signal frequency, it is possible to from discrete sampling sample Each periodic function component sin (k ω t) in continuous function, including u (t) etc. is recovered in this.Herein, it is such as recognizable with highest Frequency is exemplified by 119Hz, then sample frequency f is necessary for more than 238Hz, in fast Fourier algorithm, and sample frequency f is generally More than ten times of signal frequency, e.g., will recover 119Hz signals, sample frequency generally requires more than 1190Hz frequency.
Step 2:According to least-squares algorithm, a least square filter is constructed;
Spectrum analysis is exactly to pass through sampled signal sequence, final to obtain U0、λ、Uk、θk.At present, two methods realize Above-mentioned target, Fourier algorithm and least-squares algorithm.The present invention uses least-squares algorithm.Therefore, first by Fourier function Deploy and simplify.
By the U in Fourier functional expression0e-λtBy Taylor series expansion, first two are taken, then:
U0e-λt≈U0-U0λt
By sin (k ω t+ θk) by trigonometric function expansion, arrange, then:
Uksin(kωt+θk)=sin (k ω t) Ukcos(θk)+cos(kωt)Uksin(θk)
From the angle of complex function, wherein, Ukcos(θk) and Uksin(θk) it is exactly to need kth subharmonic arrow to be measured The real and imaginary parts of amount.And in the case where fundamental wave and sample frequency are fixed, function space sequence sin (k ω ti) and cos (k ω ti) in the time window of each cycle period it is a fixed value.Therefore, according to least square criterion, every time after sampling Relation equation between sample and each function composition is:
ti--- ith sampling instant.After the sampling of continuous n times, N number of equation will be obtained.If by U0、U0λ, and The real and imaginary parts of all harmonic waves represent that then n times sampled result can use following matrix equation table as unknown quantity, and with matrix Show:
According to equal interval sampling, thenT --- fundamental wave period of a function.
If representing above-mentioned N rows, the coefficient matrix of 2 (M+1) row with A, the variable to be measured of single-row 2 (M+1) rows is represented with X Matrix, single-row sampling matrix is represented with U, then above-mentioned sampling matrix is represented by:
AX=U
The column element of coefficient matrices A the 3rd represents to illustrate numerical value of the sin (ω t) in each sampling instant, A the 4th row member Element illustrates numerical value of the cos (ω t) in each sampling instant.A the 5th column element illustrates second harmonic sin (2 ω t) each The numerical value of individual sampling instant, the like.
Because coefficient matrices A certainly exists inverse matrix A-1, therefore:
X=A-1·U
Wherein, inverse matrix A-1Dimension be 2 (M+1) * N.
A-1It is least square filter.Once sampling period, A have selected according to the first step-1Being one can count in advance The constant matrices of calculation.
Step 3:Signal after being changed according to least square filter to optical-electrical converter is filtered processing, obtains light The DC component and the harmonic amplitude of each Frequency point of signal after electric transducer conversion, are designated as radiation intensity and flame respectively In the scintillation intensity of each Frequency point.
According to matrix X definition and equation X=A-1U, then:
Fundamental wave cubage process is:
The calculating process of kth subharmonic is:
The present invention is sampled and spectrum analysis using least-squares algorithm to signal, and this method has higher when frequency division Precision is analysed, the spectrum signature of signal can be accurately recognized, and can more accurately portray the position and border of reservoir, can Further improve the precision of reservoir prediction.
For example:Temperature is detected for the #2 stove fires of Hua electricity Qingdao electricity generating corporation, Ltd, the unit has 28 fibre optical sensors, Respectively optical fiber flame detecting device, each device is divided into front-end probe and back-end controller two parts, and front-end probe is realized Circuit in sampling by optical fiber and opto-electronic conversion, probe is circuit shown in Fig. 2.Flame optical signal is converted to electric current letter without distortions Number, the controller into rear end is analyzed and processed.
28 fibre optical sensors constitute coal dust in complete set monitoring system, boiler by RS-485 buses and monitoring host computer Combustion position and quality are shown in main frame monitoring picture.
Present invention also offers the detection method that burner coal dust firing quality detecting system is realized using optical fiber.
The utilization optical fiber of the present invention realizes the detection method of burner coal dust firing quality detecting system, including:
(1) fibre optical sensor gathers the flame optical signal in burner and is sent to through optical-electrical converter in processor;
(2) signal after processor is changed to optical-electrical converter is sampled and spectrum analysis, so as to isolate in signal Radiation intensity and flame each Frequency point scintillation intensity;Counted again by correcting unburned particulate matter to the occlusion effect of background Calculate revised background radiation intensity;The burning quality of burner coal dust is described using revised background radiation intensity;
Wherein, during revised background radiation intensity is calculated, first with flame each Frequency point flicker Intensity, calculating coal dust firing degree is used to describe coverage extent;Recycle coal dust firing degree to correct background radiation intensity, repair Background radiation intensity after just is the ratio of radiation intensity and coal dust firing degree.
Specifically, the signal after being changed using least-squares algorithm to optical-electrical converter is sampled and spectrum analysis.
Specifically, using least-squares algorithm to optical-electrical converter change after signal sampled and spectrum analysis tool Body process is:
Step one:According to Shen agriculture sampling theory, frequency and the sampling period of the signal after optical-electrical converter conversion are determined;
According to Fourier function theory, any one function is represented by the Fourier letter for ω such as next fundamental frequency Number:
Wherein, U0- DC component;λ-DC component attenuation coefficient;UkThe amplitude of-kth subharmonic;ω --- fundamental wave electricity The angular frequency of stream or voltage;θk--- the initial phase angle of kth subharmonic.K=1,2 ..., M.
According to Shen agriculture sampling theory, as long as sample frequency f is more than twice of signal frequency, it is possible to from discrete sampling sample Each periodic function component sin (k ω t) in continuous function, including u (t) etc. is recovered in this.Herein, it is such as recognizable with highest Frequency is exemplified by 119Hz, then sample frequency f is necessary for more than 238Hz, in fast Fourier algorithm, and sample frequency f is generally More than ten times of signal frequency, e.g., will recover 119Hz signals, sample frequency generally requires more than 1190Hz frequency.
Step 2:According to least-squares algorithm, a least square filter is constructed;
Spectrum analysis is exactly to pass through sampled signal sequence, final to obtain U0、λ、Uk、θk.At present, two methods realize Above-mentioned target, Fourier algorithm and least-squares algorithm.The present invention uses least-squares algorithm.Therefore, first by Fourier function Deploy and simplify.
By the U in Fourier functional expression0e-λtBy Taylor series expansion, first two are taken, then:
U0e-λt≈U0-U0λt
By sin (k ω t+ θk) by trigonometric function expansion, arrange, then:
Uksin(kωt+θk)=sin (k ω t) Ukcos(θk)+cos(kωt)Uksin(θk)
From the angle of complex function, wherein, Ukcos(θk) and Uksin(θk) it is exactly to need kth subharmonic arrow to be measured The real and imaginary parts of amount.And in the case where fundamental wave and sample frequency are fixed, function space sequence sin (k ω ti) and cos (k ω ti) in the time window of each cycle period it is a fixed value.Therefore, according to least square criterion, every time after sampling Relation equation between sample and each function composition is:
ti--- ith sampling instant.After the sampling of continuous n times, N number of equation will be obtained.If by U0、U0λ, and The real and imaginary parts of all harmonic waves represent that then n times sampled result can use following matrix equation table as unknown quantity, and with matrix Show:
According to equal interval sampling, thenT --- fundamental wave period of a function.
If representing above-mentioned N rows, the coefficient matrix of 2 (M+1) row with A, the variable to be measured of single-row 2 (M+1) rows is represented with X Matrix, single-row sampling matrix is represented with U, then above-mentioned sampling matrix is represented by:
AX=U
The column element of coefficient matrices A the 3rd represents to illustrate numerical value of the sin (ω t) in each sampling instant, A the 4th row member Element illustrates numerical value of the cos (ω t) in each sampling instant.A the 5th column element illustrates second harmonic sin (2 ω t) each The numerical value of individual sampling instant, the like.
Because coefficient matrices A certainly exists inverse matrix A-1, therefore:
X=A-1·U
Wherein, inverse matrix A-1Dimension be 2 (M+1) * N.
A-1It is least square filter.Once sampling period, A have selected according to the first step-1Being one can count in advance The constant matrices of calculation.
Step 3:Signal after being changed according to least square filter to optical-electrical converter is filtered processing, obtains light The DC component and the harmonic amplitude of each Frequency point of signal after electric transducer conversion, are designated as radiation intensity and flame respectively In the scintillation intensity of each Frequency point.
According to matrix X definition and equation X=A-1U, then:
Fundamental wave cubage process is:
The calculating process of kth subharmonic is:
Because of coal dust occlusion effect, the signal radiation intensity isolated, that is, the DC component of flame optical signal be in fact The radiation intensity of observation station, rather than background radiation intensity, background radiation intensity must be according to shielding rate of the coal dust to bias light It is modified.
Size and blinking characteristics of the flame on fundamental wave point and each harmonic Frequency point, have reacted particulate matter in burner hearth wind field In motion feature, feature is more obvious, illustrates that particle concentration is bigger, concentration is more big, blocks more serious to bias light, therefore, This feature is a kind of negative contribution to bias light.
Coverage extent is described with following coal dust firing degree E:
Wherein, Umax--- for maximum average flicker intensity.When each scintillation intensity reaches maximum, E minimum (tending to be 0), Illustrate serious shielding, when each scintillation intensity very little, E is very big (tending to be 1) on the contrary, illustrates that occlusion effect is smaller.
Therefore, real background intensity U should reversely be corrected according to E size.Revised background intensity U is:
The radiation intensity U that above formula comprehensive description observation station is directly observed0, coal dust firing degree E, coal dust fires to the greatest extent front end Relation between radiation intensity U, also describes and represents the burning quality of burner.
This method also includes:The burning quality of burner coal dust is also sent to monitoring host computer by bus and carried out by processor Monitoring in real time.
In coal dust firing quality determining method proposed by the present invention, by correcting occlusion effect of the unburned particulate matter to background To calculate revised background radiation intensity;The burning matter of burner coal dust is described using revised background radiation intensity Amount, is that flame status detection, burning quality detection etc. provide theoretical foundation;
Coal dust firing quality determining method proposed by the present invention realizes the quantitatively evaluating index of coal dust firing degree;
Burning quality detection method proposed by the present invention, become more meticulous firing optimization to current field of thermal power raising boiler Level and Environmental Protection Level have direct help, have filled up the blank in the field, with huge economic benefit and society Can benefit.
Although above-mentioned the embodiment of the present invention is described with reference to accompanying drawing, not to present invention protection model The limitation enclosed, one of ordinary skill in the art should be understood that on the basis of technical scheme those skilled in the art are not Need to pay various modifications or deform still within protection scope of the present invention that creative work can make.

Claims (10)

1. one kind realizes burner coal dust firing quality detecting system using optical fiber, it is characterised in that including:
Fibre optical sensor, it is arranged at burner mouthful, the flame optical signal for being configured as gathering in burner and through opto-electronic conversion Device is sent in processor;
The processor, is configured as the signal after being changed to optical-electrical converter and is sampled and spectrum analysis, so as to isolate The scintillation intensity of radiation intensity and flame in signal in each Frequency point;Effect is blocked to background by correcting unburned particulate matter again Revised background radiation intensity should be calculated;The burning matter of burner coal dust is described using revised background radiation intensity Amount;
Wherein, during revised background radiation intensity is calculated, first with flame each Frequency point scintillation intensity, Calculating coal dust firing degree is used to describe coverage extent;Coal dust firing degree is recycled to correct background radiation intensity, after amendment Background radiation intensity for radiation intensity and coal dust firing degree ratio.
2. one kind as claimed in claim 1 realizes burner coal dust firing quality detecting system using optical fiber, it is characterised in that The optical-electrical converter includes the photo resistance of integrated operational amplifier and connection connected in parallel, the integrated operational amplifier End of oppisite phase input is exported after being superimposed with the negative feedback voltage of photo resistance.
3. one kind as claimed in claim 1 realizes burner coal dust firing quality detecting system using optical fiber, it is characterised in that The processor is additionally configured to the signal after being changed using least-squares algorithm to optical-electrical converter and sampled and frequency spectrum point Analysis.
4. one kind as claimed in claim 1 realizes burner coal dust firing quality detecting system using optical fiber, it is characterised in that The processor is also connected by bus with monitoring host computer.
5. a kind of utilization optical fiber as claimed in claim 1 realizes the detection method of burner coal dust firing quality detecting system, It is characterised in that it includes:
Fibre optical sensor gathers the flame optical signal in burner and is sent to through optical-electrical converter in processor;
Signal after processor is changed to optical-electrical converter is sampled and spectrum analysis, so that the radiation isolated in signal is strong The scintillation intensity of degree and flame in each Frequency point;Calculated again by correcting unburned particulate matter to the occlusion effect of background after amendment Background radiation intensity;The burning quality of burner coal dust is described using revised background radiation intensity;
Wherein, during revised background radiation intensity is calculated, first with flame each Frequency point scintillation intensity, Calculating coal dust firing degree is used to describe coverage extent;Coal dust firing degree is recycled to correct background radiation intensity, after amendment Background radiation intensity for radiation intensity and coal dust firing degree ratio.
6. realizing the detection method of burner coal dust firing quality detecting system using optical fiber as claimed in claim 5, it is special Levy and be, the signal after being changed using least-squares algorithm to optical-electrical converter is sampled and spectrum analysis.
7. realizing the detection method of burner coal dust firing quality detecting system using optical fiber as claimed in claim 6, it is special Levy and be, using least-squares algorithm to optical-electrical converter change after signal sampled and spectrum analysis detailed process For:
According to Shen agriculture sampling theory, frequency and the sampling period of the signal after optical-electrical converter conversion are determined;
According to least-squares algorithm, a least square filter is constructed;
Signal after being changed according to least square filter to optical-electrical converter is filtered processing, obtains optical-electrical converter conversion The DC component of signal afterwards and the harmonic amplitude of each Frequency point, are designated as radiation intensity and flame in each Frequency point respectively Scintillation intensity.
8. realizing the detection method of burner coal dust firing quality detecting system using optical fiber as claimed in claim 5, it is special Levy and be, coal dust firing degree for coal dust maximum average flicker intensity and all coal dusts average flicker intensity difference again with coal The ratio of the maximum average flicker intensity of powder.
9. realizing the detection method of burner coal dust firing quality detecting system using optical fiber as claimed in claim 5, it is special Levy and be, when the scintillation intensity of each Frequency point of coal dust reaches maximum, coal dust firing degree is minimum, illustrates serious shielding.
10. realizing the detection method of burner coal dust firing quality detecting system using optical fiber as claimed in claim 5, it is special Levy and be, this method also includes:The burning quality of burner coal dust is also sent to monitoring host computer by bus and carried out by processor Monitoring in real time.
CN201710442165.8A 2017-06-13 2017-06-13 System and method for detecting pulverized coal combustion quality of burner by using optical fiber Expired - Fee Related CN107064113B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710442165.8A CN107064113B (en) 2017-06-13 2017-06-13 System and method for detecting pulverized coal combustion quality of burner by using optical fiber

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710442165.8A CN107064113B (en) 2017-06-13 2017-06-13 System and method for detecting pulverized coal combustion quality of burner by using optical fiber

Publications (2)

Publication Number Publication Date
CN107064113A true CN107064113A (en) 2017-08-18
CN107064113B CN107064113B (en) 2020-02-11

Family

ID=59595189

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710442165.8A Expired - Fee Related CN107064113B (en) 2017-06-13 2017-06-13 System and method for detecting pulverized coal combustion quality of burner by using optical fiber

Country Status (1)

Country Link
CN (1) CN107064113B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107525751A (en) * 2017-08-24 2017-12-29 山东泰景电力科技有限公司 A kind of method and apparatus of ultraviolet source method detection wind powder ratio and flow velocity

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3947218A (en) * 1975-01-23 1976-03-30 Honeywell Inc. Safety circuit for monitoring a flickering flame
US4471221A (en) * 1981-04-16 1984-09-11 Emi Limited Infra-red flame detector
CN1576839A (en) * 2003-07-11 2005-02-09 西门子建筑技术公司 Method and apparatus for the detection of flames
CN1959373A (en) * 2006-11-03 2007-05-09 刘文清 Optical method and device for measuring concentration of granules in certain velocity of flow
CN101847306A (en) * 2009-03-27 2010-09-29 能美防灾株式会社 Fire detector
CN101946126A (en) * 2007-12-19 2011-01-12 Abb研究有限公司 Flame scanning device and method for its operation
CN102538000A (en) * 2010-12-09 2012-07-04 财团法人工业技术研究院 Combustion flame diagnostic method
CN103148509A (en) * 2013-04-01 2013-06-12 合肥丰华燃烧技术有限公司 Method for improving thermal efficiency of industrial furnace kiln by virtue of detecting flame condition and regulating oxygen enrichment flow
CN204006096U (en) * 2014-06-13 2014-12-10 南京万和测控仪表有限公司 A kind of dynamic flame detection system
CN104235873A (en) * 2014-09-24 2014-12-24 华北电力大学 Device and method for monitoring flame stability based on electrostatic sensor
CN104315535A (en) * 2014-10-31 2015-01-28 山东泰景电力科技有限公司 Detection device and method for flame burning state
CN104330171A (en) * 2014-10-31 2015-02-04 山东泰景电力科技有限公司 Furnace box temperature measuring method

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3947218A (en) * 1975-01-23 1976-03-30 Honeywell Inc. Safety circuit for monitoring a flickering flame
US4471221A (en) * 1981-04-16 1984-09-11 Emi Limited Infra-red flame detector
CN1576839A (en) * 2003-07-11 2005-02-09 西门子建筑技术公司 Method and apparatus for the detection of flames
CN1959373A (en) * 2006-11-03 2007-05-09 刘文清 Optical method and device for measuring concentration of granules in certain velocity of flow
CN101946126A (en) * 2007-12-19 2011-01-12 Abb研究有限公司 Flame scanning device and method for its operation
CN101847306A (en) * 2009-03-27 2010-09-29 能美防灾株式会社 Fire detector
CN102538000A (en) * 2010-12-09 2012-07-04 财团法人工业技术研究院 Combustion flame diagnostic method
CN103148509A (en) * 2013-04-01 2013-06-12 合肥丰华燃烧技术有限公司 Method for improving thermal efficiency of industrial furnace kiln by virtue of detecting flame condition and regulating oxygen enrichment flow
CN204006096U (en) * 2014-06-13 2014-12-10 南京万和测控仪表有限公司 A kind of dynamic flame detection system
CN104235873A (en) * 2014-09-24 2014-12-24 华北电力大学 Device and method for monitoring flame stability based on electrostatic sensor
CN104315535A (en) * 2014-10-31 2015-01-28 山东泰景电力科技有限公司 Detection device and method for flame burning state
CN104330171A (en) * 2014-10-31 2015-02-04 山东泰景电力科技有限公司 Furnace box temperature measuring method

Non-Patent Citations (8)

* Cited by examiner, † Cited by third party
Title
ASHOKRAJ R ET AL.: "Effect of air ratio on unstrady partially premixed flames", 《PROCEEDINGS OF THE 2RD INTERNATIONAL CONFERENCE ON FLUID FLOW,HEAT AND MASS TRANSFER》 *
E.H.BERGER ET AL.: ""Influence of physiological noise and the occlusion effect on the measurement of real-ear attenuation at threshold"", 《THE JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA》 *
HIROSHI GOTODA ET AL.: "Periodic motion of a bunsen flame tip with bunsen flame tip wiht burner rotation", 《COMBUSTION AND FLAME》 *
SIAVASH SADEGHI IVRIGH ET AL.: ""A blind source separation technique for spectrum sensing in cognitive radio networks based on kurtosis metric"", 《2011 1ST INTERNATIONAL ECONFERENCE ON COMPUTER AND KNOWLEDGE ENGINEERING》 *
宋阁: "火焰燃烧状态在线监测研究", 《中国优秀硕士学位论文全文数据库》 *
张生富: ""高炉风口回旋区辐射图像温度场的数字化研究"", 《中国优秀硕士学位论文全文数据库》 *
李捷: "锅炉火焰检测系统的功能开发及实际应用", 《中国优秀硕士学位论文全文数据库》 *
王春昌 等: "火焰检测器指示值偏低或误判的原因分析即解决措施", 《热力发电》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107525751A (en) * 2017-08-24 2017-12-29 山东泰景电力科技有限公司 A kind of method and apparatus of ultraviolet source method detection wind powder ratio and flow velocity
CN107525751B (en) * 2017-08-24 2020-04-28 山东泰景电力科技有限公司 Method and device for detecting wind-powder ratio and flow velocity by ultraviolet light source method

Also Published As

Publication number Publication date
CN107064113B (en) 2020-02-11

Similar Documents

Publication Publication Date Title
CN103244964B (en) Combustion optimization control system based on acoustically-measured hearth temperature field, and control method thereof
JP5856294B2 (en) Photovoltaic power generation monitoring method and solar power generation monitoring system used for the method
CN104267637B (en) A kind of forest fire trip test platform for transmission line data automatically gather and control method
CN107543199A (en) A kind of pulverized-coal fired boiler online detection of primary air and burning optimization management system
CN109442463B (en) Coal mill coal powder fineness adjusting method
CN202815166U (en) Detection device of solar energy photovoltaic array I-V characteristic
CN104699126A (en) Sun direction detection device for photovoltaic system and sunlight tracking method
CN102226772B (en) Device for measuring carbon content of fly ash in boiler of electric power plant
CN103823971A (en) Oxygen content detecting method for boiler fuel gas of coal-fired power station
CN107064113A (en) One kind realizes burner coal dust firing quality detecting system and method using optical fiber
CN105241579B (en) A kind of recoil mechanism temperature automatic measuring instrument and its control method
CN105181515B (en) Detect the method and system of coal dust firing dynamic characteristics in boiler furnace
Li et al. Improving the accuracy of insulation resistance measurements of a single arm unbalanced bridge using a parameter matching design and filtering algorithm for battery packs used in electric ships
CN114047154A (en) Device and method for on-line measurement of burnout degree of pulverized coal boiler based on spectral analysis
CN104253586B (en) A kind of solar panel electric parameter on-line measurement evaluating apparatus and method
CN104330171B (en) Furnace box temperature measuring method
CN110618232B (en) Online coal calorific value measuring device without radioactive source and method thereof
CN107525751B (en) Method and device for detecting wind-powder ratio and flow velocity by ultraviolet light source method
CN104315535B (en) Detection device and method for flame burning state
CN202486635U (en) Oven drying control system capable of automatically monitoring temperature and pressure of coke oven
Onat et al. A basic ann system for prediction of excess air coefficient on coal burners equipped with a ccd camera
CN201965099U (en) Device for measuring fly ash carbon content of boiler in power plant
Butler et al. Measurement of time-resolved local particle cloud temperature in a full-scale utility boiler
CN205178985U (en) Photovoltaic module angle of incidence factor of influence testing arrangement
Kar et al. Mathematical Performance Analysis of the Absorbing Sun Light for Rotating and Non-rotating solar cell panel

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20200211

CF01 Termination of patent right due to non-payment of annual fee